Agentic operations for influencer marketing
Influencer marketing, run by AI agents.
Influmation is the agentic operating system for influencer-marketing agencies. Its agent reads the client brief, builds the campaign, shortlists and prices creators, and drafts the quotation. Once the client confirms, every booking, contract and creator link is generated from that one record.
Influmation Agent
Campaign copilot · Skincare launch
- launch-brief.pdf
Skincare launch, TikTok and Instagram. Build it out.
Reading the brief, then pulling creators who fit.
- Read the brief14 pages
- Searched creators41 matches
- Analysed TikTok profiles6 new creators
- Priced the quotation18 lines
Quotation v1 is ready. I assumed a 30% markup on new creators.
Quotation v1
18 creators · waiting for your sign-off
- 23actions the agent can take on its own
- 1quotation that every downstream document derives from
- 5scoring dimensions per creator, built from real bookings
01/The problem
One campaign. The same spreadsheet, retyped four times.
Agencies earn the margin between what a creator costs and what the client pays. That margin lives in an internal quotation that is copied by hand into bookings, contracts and acceptance reports, with every approval chased over email and chat. One FMCG launch we modelled the product on booked more than 80 creators across four tiers. Each one was a price to negotiate, a contract to draft and a post to check.
- 01Find creatorsold spreadsheets
- 02Pitchchat threads
- 03Negotiate pricechat threads
- 04Quote the clientExcel, copy 1 of 4
- 05Write scriptsshared docs
- 06Review contentemail chains
- 07Draft contractsWord templates
- 08Accept deliverypaper forms
- 09Report and reconcileExcel, copy 4 of 4
02/Product
One record, from brief to P&L.
Influmation collapses the job into a single quotation. Everything downstream is derived from it, so nothing is retyped, and the cost side of the margin stays visible to staff and hidden from the client.
- 01BriefAgent
Reads PDF, DOCX, PPTX or pasted text with tables and columns intact, then proposes a campaign structure.
Your team:Approves the structure
- 02CampaignAgent
Creates the client, deliverables per platform and weighted evaluation criteria from a plain-language chat.
Your team:Edits by asking
- 03CreatorsAgent
Searches the creator database, TikTok and the open web, enriches new profiles and ranks them by score.
Your team:Picks the roster
- 04QuotationAgent
Drafts every line with an estimated price grounded in past bookings and real market signals.
Your team:Sets margin, confirms
- 05ContractsSystem
One confirmation generates bookings, the client contract, creator or MCN contracts and a private submission link per creator.
Your team:Signs
- 06DeliveryCreator
Creators open their link, read the brief and criteria, and submit the video or the live post. No account needed.
Your team:Reviews against criteria
- 07CloseSystem
The acceptance report follows the approved work, the campaign locks, and revenue, cost and margin are ready.
Your team:Final acceptance
03/The agent
An agent your staff can hand the brief to.
The campaign copilot works inside the same records the team uses. It is built around four rules.
- 1
It never invents.
If a brief cannot be read, the agent says so and asks for it again. The only thing it may estimate is a price, and only from real signals such as past bookings and audience size.
- 2
It acts, then reports.
Missing details are looked up, not asked for. Where it has to assume, it picks a sensible default, does the work and states the assumption so staff can correct it.
- 3
Reads are free. Writes are careful.
Lookups run without asking permission. Writes that are large or hard to reverse are proposed first and wait for a person to agree.
- 4
It narrates every step.
Before each batch of tool calls it writes one plain sentence naming what it is about to touch and why. Nobody waits in silence behind a spinner.
04/Creator scoring
A creator score that admits what it doesn’t know.
Every creator carries a composite score out of 100, built from the agency’s own booking history rather than follower counts. Each dimension is ranked against the rest of the roster. The agent shortlists with it, and staff see how much evidence sits behind every number.
Recent work counts more
Booking history decays with a twelve-month half-life, so last year’s campaign weighs half as much as this month’s.
Thin data is labelled
Fewer than three completed bookings marks a score provisional. One good post does not produce a confident number.
Gaps are never filled in
A dimension without data is dropped and the weights are renormalised across the rest. No neutral placeholders.
Brand safety is a gate
An open brand-risk signal caps the score at 40. A scandal cannot be averaged away by strong view counts.
Specimen
Creator, beauty niche
2 completed bookings · provisional
76/100
- Performance82delivered views against commitment
- Reliability74approval rate and rework
- Cost61cost per delivered view
- Staff rating88the team’s rating after each booking
- Audience healthno dataengagement rate · not enough data yet
05/AI Transformation
Software alone doesn’t change how a team works. So we map it.
Our AI Transformation engagement reads an agency’s real operating procedures and org chart, task by task, and decides where AI belongs and where it does not. The answer is often less AI than people expect, placed where it pays.
- Class 01
Keep human
Judgement, relationships and accountability.
Negotiating with a client, approving a creative direction.
- Class 02
Plain automation
Fixed rules that never change. No model needed.
Generating a contract from a template, sending reminders.
- Class 03
AI workflow
A model doing one step inside a fixed pipeline.
Extracting requirements from a brief, checking a script.
- Class 04
AI agent
Open-ended work with goals, tools and judgement calls.
Building a campaign, sourcing and pricing creators.
What the client receives
Our first report shipped in September 2026 for a Vietnamese talent agency, delivered as a private, access-controlled web report rather than a slide deck.
- 01Every SOP task classified, with the reasoning
- 02Hours saved per year, task by task
- 03Bottlenecks and where they come from
- 04A phased roadmap the team can start on
06/Where it stands
Built inside a working agency, one campaign at a time.
Influmation grew out of an operating influencer agency in Ho Chi Minh City. The data model was drawn from real paperwork: briefs, internal quotations, contracts and acceptance reports. Every screen exists because a live campaign needed it.
In production
- Campaign copilot, from brief to draft quotation
- Creator scoring and profile enrichment
- Quotation to bookings, contracts and submission links
- Acceptance reports and campaign P&L
- AI Transformation reports for agencies
Building now
- Agent runs that pick up exactly where they left off after any interruption
Next
- Automated content review: video scored against campaign criteria, pipeline built, switched off while review stays manual
- Open briefs that creators can apply to directly
- Role-based access for pricing, talent, legal and accounting
07/Talk to us
Bring a real brief. Watch the agent run it.
We will walk you through a live run, from the first read of your brief to a confirmed quotation and the contracts it generates.